Job Title: Data Tester (Big Data QE) Location: Waterloo, ON ''Hybrid 2 days in office'' Duration: 06-12 Months Hourly Pay Rate: 45 CAD Job Description: We are seeking a motivated Big Data QE / Data Tester with experience in data testing and a passion for the Property & Casualty (P&C;) Insurance domain.

The ideal candidate will be responsible for supporting data testing initiatives, validating data quality, and ensuring solutions meet design specifications, standards, and business requirements within an Agile workplace.

Required Skills & Qualifications (Must-have qualifications that candidates must meet to be considered) 68 years of experience in ETL Testing, SQL, Big Data, and Python.

Hands-on experience with ETL and Database Testing, Data Migration Testing, and Report Validation.

Strong knowledge of GCP Big

Query.

Experience with PySpark and/or Python.

Expert-level SQL skills, including writing and understanding complex queries.

Advanced knowledge of Big Data technologies, including Hadoop, Hive, Impala, HBase, Pentaho.

Experience working in Agile project environments.





Preferred Skills & Qualifications (Nice-to-have skills but are not required) Exposure to the Property & Casualty (P&C;) Insurance domain, specifically Property and Auto Insurance.

Knowledge of Guidewire.

Day-to-Day Responsibilities (key tasks and expectations for the role) Develop and execute test strategies aligned with design specifications, standards, and user requirements.

Perform ETL and database testing, data migration testing, and report validation.

Write and execute complex SQL queries for data analysis and validation.

Execute and validate queries in GCP Big

Query.

Design and execute test cases in a Big Data environment.

Analyze data and validate data quality across various data sources.

Collaborate with Agile teams to test components iteratively throughout the development lifecycle.

For immediate consideration please click APPLY to begin the screening process with Alex.

📌 Hiring Data Tester in Waterloo, ON (Toronto)
🏢 Artech
📍 Toronto